Immersive analytics: An overview

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS IT-Information Technology Pub Date : 2022-08-01 DOI:10.1515/itit-2022-0037
Karsten Klein, M. Sedlmair, Falk Schreiber
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引用次数: 2

Abstract

Abstract Immersive Analytics is concerned with the systematic examination of the benefits and challenges of using immersive environments for data analysis, and the development of corresponding designs that improve the quality and efficiency of the analysis process. While immersive technologies are now broadly available, practical solutions haven’t received broad acceptance in real-world applications outside of several core areas, and proper guidelines on the design of such solutions are still under development. Both fundamental research and applications bring together topics and questions from several fields, and open a wide range of directions regarding underlying theory, evidence from user studies, and practical solutions tailored towards the requirements of application areas. We give an overview on the concepts, topics, research questions, and challenges.
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沉浸式分析:概述
摘要沉浸式分析涉及对使用沉浸式环境进行数据分析的好处和挑战的系统检查,以及开发相应的设计,以提高分析过程的质量和效率。虽然沉浸式技术现在已经广泛可用,但在几个核心领域之外的现实世界应用中,实用的解决方案还没有得到广泛接受,关于此类解决方案设计的适当指导方针仍在制定中。基础研究和应用都汇集了来自多个领域的主题和问题,并为基础理论、用户研究的证据以及针对应用领域需求量身定制的实用解决方案开辟了广泛的方向。我们概述了这些概念、主题、研究问题和挑战。
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来源期刊
IT-Information Technology
IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.80
自引率
0.00%
发文量
29
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